- url
- date
- headline
- guid (permalink=false might be problematic)
- description
But unfortunately the author still needs to be extracted from the html. Using a double regex, the first to extract all the article headers, and the second to extract the author from this, seems to accurately identify the authors for the small test set (20 articles) so far. Further testing will be done.
Started using Python's dateutils.parser for flexible date parsing.
Received documents from Richard about metadata and modularization.
I need to have a better look at how some of the python modules I'm using are doing encoding, as I'm having a few issues with smart quotes and other unicode characters. I discovered the unidecode python module which does a brilliant job at converting unicode characters to the nearest possible ascii match, which may be useful for some text analysis.
Started looking at NLTK's capabilities for word stemming.
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